Abstract
ABSTRACT In the paper, Diem Distributed Ledger Technology (DLT) and Aptos blockchain data are examined. First, the paper presents a general overview of the Diem project from a technical point of view. Second, it presents a study that aims to collect and analyze data from the Diem and Aptos blockchain, in order to verify some properties declared in the technical paper. For instance, a relevant property of the Diem and Aptos blockchains is their transactions' throughput, i.e. the rate at which valid transactions are committed into a block by the Diem blockchain in a one-second interval of time (transactions per second, TPS) and the interval of time for a transaction to be confirmed. In the case of the Diem blockchain, the data were collected over three months (January 1–March 31, 2022) while in the case of the Aptos blockchain, the data were collected over a month (December 1 - December 31, 2022). These data can be found on a GitHub repository that is publicly accessible. The results of the data analysis show that the average transactions' throughput is about 60 TPS and the waiting time is on average 1 minute and 40 seconds. Moreover, the paper sheds light on some Diem features that are unique when compared to similar blockchains, such as Ethereum. Some of these unique features are the consensus mechanism based on the BFT consensus protocols (Byzantine Fault Tolerance, 2017), its accounting system based on a hierarchical model and its programming language, Move, used to code smart contracts. Through this study, the capabilities of both Diem and Aptos blockchains will be explored in more depth.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: International Journal of Parallel, Emergent and Distributed Systems
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.